A New Approach to Identifying Sorghum Hybrids Using UAV Imagery Using Multispectral Signature and Machine Learning

A New Approach to Identifying Sorghum Hybrids Using UAV Imagery Using Multispectral Signature and Machine Learning

Using multispectral sensors attached to unmanned aerial vehicles (UAVs) can assist in the collection of morphological and physiological information from several crops. This approach, also known as high-throughput phenotyping, combined with data processing by machine learning (ML) algorithms, can pro...

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Bibliographic Details
Main Authors: Dthenifer Cordeiro Santana, Gustavo de Faria Theodoro, Ricardo Gava, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro, Izabela Cristina de Oliveira, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Job Teixeira de Oliveira, Paulo Eduardo Teodoro
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Algorithms
Subjects:
artificial neural networks
high-throughput phenotyping
random forest
spectral bands
vegetation index
Online Access:https://www.mdpi.com/1999-4893/17/1/23

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